Case Study Data Lake Building an enterprise data lake requires building a reliable, repeatable, and fully operational data management system, which includeds ingestion, transformations, and distribution of

Source URL: customers.cask.co

• Information technology
• Computing
• Data management
• Data
• Business intelligence
• Knowledge representation
• Records management
• Technical communication
• Cask

Inductive Entity Typing Alignment Giuseppe Rizzo1,2 , Marieke van Erp3 , Rapha¨el Troncy1 1 EURECOM, Sophia Antipolis, France ,

Source URL: giusepperizzo.github.io

• Computing
• Semantic Web
• Information science
• Information
• Data management
• Knowledge representation
• Knowledge engineering
• Schema matching
• Data integration
• Ontology alignment
• DBpedia
• Linked data

Final Call for Papers KROW 2008: September 17, 2008 Knowledge Representation Ontology Workshop A KR 2008 Workshop Sydney, Australia, September, 2008 http://www.cse.unsw.edu.au/∼kr2008/krow.html

Source URL: www.cse.unsw.edu.au

Course: IENG 431 – Expert Systems in IMSE – Spring 2013 Number of credit hours: 3 Catalog Data: Expert systems design and development for manufacturing and service applications; knowledge acquisition, representation,

Source URL: imse.statler.wvu.edu

3C—Analyzing the Institution Moving Technical Services Offsite: Impetus, Impact, and Attitudes, Catelynne Sahadath (University of Calgary). Is there a compelling reason why technical services such as metadata, collecti

Source URL: capalibrarians.org

• Information technology
• Business intelligence
• Data management
• Knowledge representation
• Records management
• Technical communication
• Information science
• Information

membership applicationPlease read carefully, complete, sign, and date the attached form and return to: InLiquid 1400 N. American Street #314 Philadelphia, PA 19122

Source URL: inliquid.org

• Knowledge representation
• Internet marketing
• Search engine optimization
• Web page
• Tag
• Image file formats
• Flash Video
• Portable Document Format

Microsoft Word - SMC 2.2.doc

Source URL: www.cs.utep.edu

• Computational linguistics
• Linguistics
• Knowledge representation
• Applied linguistics
• Computational science
• Lexical semantics
• Statistical distance
• Thesauri
• WordNet
• Hyponymy and hypernymy
• Semantic similarity
• Semantic network

Metadata Guidelines for Wabash Valley Visions and Voices CreatedUpdated

Source URL: visions.indstate.edu

• Knowledge representation
• Semantic Web
• Technical communication
• Archival science
• Records management
• Dublin Core
• Controlled vocabulary
• Authority control
• Index term
• Library of Congress Subject Headings
• Anglo-American Cataloguing Rules
• HTML element

Knowledge Representation and Reasoning Introduction and Motivation Maurice Pagnucco School of Computer Sc. & Eng. University of New South Wales

Source URL: ssll.rsise.anu.edu.au

ACQUIRING LEXICAL KNOWLEDGE FOR ANAPHORA RESOLUTION
 Massimo Poesio, Tomonori Ishikawa, Sabine Schulte im Walde,  and Renata Vieira  University of Essex, Department of Computer Science

Source URL: cswww.essex.ac.uk

• Linguistics
• Computational linguistics
• Semantics
• Lexical semantics
• Open data
• Knowledge representation
• WordNet
• Hyponymy and hypernymy
• Lexical database
• Anaphora
• Cyc
• Word sense